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A curated list of resources for Learning with Noisy Labels
A PyTorch implementation of center loss on MNIST
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
Workshop exercises on regression, GLMs, mixed-effects models, and GLMMs in R
Introduction à l'analyse d'enquêtes avec R et RStudio
🐝 Awesome R and Python packages offering extended UI or server components for the web framework Shiny
Virtual whiteboard for sketching hand-drawn like diagrams
Merlion: A Machine Learning Framework for Time Series Intelligence
A library of reinforcement learning components and agents
Starting code for Algonauts 2021 challenge
R package primer: a minimal tutorial on writing R packages
Resources about general practices for reproducibility
Build personalized machine learning models for Tinder using Python
Vers une recherche reproductible : faire évoluer ses pratiques
Smooth Loss Functions for Deep Top-k Classification
A great intro dataset for data exploration & visualization (alternative to iris).
R & stats illustrations by @allison_horst
Python script for downloading the FaceScrub face dataset.
One Shot learning, Siamese networks and Triplet Loss with Keras
Project repository for the work done in Triplet Entropy Loss: Improving The Generalization of Short Speech Language Identification Systems
Face recognition with deep neural networks.
Tensorflow/Keras small models for face recognition, ag/gender prediction from images
Tensoflow implementation of InsightFace (ArcFace: Additive Angular Margin Loss for Deep Face Recognition).
Code for 3rd place solution in Kaggle Humpback Whale Identification Challenge.
ArcFace unofficial Implemented in Tensorflow 2.0+ (ResNet50, MobileNetV2). "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. With Colab.
Keras implementation of ArcFace, CosFace, and SphereFace